Discover the Best NLP Courses on Udemy

Publish Date - May 11th, 2023

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Last Modified - August 31st, 2023

If you’re interested in learning about Natural Language Processing (NLP), Udemy offers a wide range of courses that will help you gain the skills and knowledge needed to succeed in this field. In this article, we’ll take a closer look at the essentials of NLP, the benefits of taking an online course, and how to choose the right one. Plus, we’ll explore some of the best NLP courses on Udemy, broken down by level of expertise.

All of these courses are solid choices, with a number of them specializing in a specific category or skillset.

Here are the 6 Best Natural language processing courses on Udemy

Course	Ratings / Reviews	Highlights and Summary
Best Udemy TensorFlow certificate training NLP	4.6 / 5 stars – 8k+ reviews	Helps you pass TensorFlow Google example, Machine learning bootcamp, image and text recognition, neutral networks and NLP, TensorFlow 2.
Best NLP financial investment course on Udemy	4.7 / 5 stars – +100 reviews	Financial NLP, ability to use machine learning to help calculate Risk for portfolios, Hypothesis testing, Sentiment Analysis
Best bootcamp for NLP on Udemy	4.6 / 5 stars – 16k+ reviews	Solid build up of all things NLP, work with text files, REGEX, Deep-learning, PDFs, Named entity recognition, NLTK.
Best overall Udemy course for NLP	4.7 / 5 stars – ~2500 reviews	Work with GPT, ML (Naive Bayes, Regression, SVD), Text preprocessing and stop words, POS and NER
Best for Deep learning and neural networks	4.6 / 5 stars – +9k reviews	Deep learning, Python, Neural networks, TensorFlow, K > 2 with Softmax
Quickest and Best Udemy ChatGPT AI course	4.9 / 5 stars – +200 reviews	ChatGPT, React + FastAPI, Create Humanistic sounding chatbot (audio)

Understanding the Basics of NLP

What is Natural Language Processing?

Natural Language Processing is a field of study that involves the interaction of natural languages and computers. It aims to develop systems that can automatically analyze, understand, and generate human language. This is done by using computational and mathematical techniques to process and classify large amounts of textual data. With jobs such as Prompt engineering becoming more prevalent and SEO (working to optimize for search algorithms) becoming more popular, NLP is the basis of all of these concepts.

One of the key challenges in NLP is the variability and complexity of human language. Unlike programming languages, natural languages are constantly evolving and are subject to regional and cultural differences. Additionally, human language is often ambiguous, making it difficult for computers to accurately interpret meaning. Despite these challenges, NLP has made significant progress in recent years and has become an essential tool in many industries.

Key Concepts and Techniques in NLP

To fully comprehend NLP, you’ll need to have a solid understanding of its essential concepts and techniques. These include the use of statistical models, syntactic and semantic analysis to decipher meanings, and the application of machine learning algorithms. By mastering these fundamental topics, learners will be equipped to tackle more complex challenges in the field of NLP.

Syntactic analysis involves breaking down sentences into their component parts, such as nouns, verbs, and adjectives. This allows computers to understand the grammatical structure of a sentence and how different words relate to each other. Semantic analysis, on the other hand, focuses on the meaning of words and how they’re used in context. This is particularly important in areas such as sentiment analysis, where understanding the emotional tone of a message is essential.

Machine learning algorithms are also a critical part of NLP. These algorithms allow computers to learn from large amounts of data and make predictions based on that data. For example, a machine learning algorithm could be trained on a large dataset of customer reviews to predict whether a new review is positive or negative.

Applications of NLP in Real Life

There are a lot of ways in which NLP can be applied to improve business processes and personal productivity. For example, sentiment analysis can be used to gauge customer attitudes towards a product, while text classification can help organize large amounts of data for more efficient analysis. Chatbots are another area where NLP is extensively used, and can be programmed to conduct customer service interactions or answer frequently asked questions.

In the healthcare industry, NLP is used to extract insights from medical records and identify patterns that can help improve patient outcomes. NLP can also be used to analyze social media data to track public health trends and identify potential outbreaks of diseases.

In the legal industry, NLP is used to analyze large amounts of legal documents and extract relevant information. This can help lawyers to more efficiently research cases and identify key information.

Overall, NLP has a wide range of applications and is becoming increasingly important in many industries. As technology continues to advance, we can expect to see even more innovative uses of NLP in the future.

Best TensorFlow Developer Certificate: Machine Learning Zero to Mastery

This course teaches TensorFlow and allows you to earn the TensorFlow Developer Certificate. You’ll start with the fundamentals of TensorFlow, move on to neural networks, and then move on to deep learning. The course covers convolutional neural networks and image classification. You’ll also learn about Transfer Learning and Natural Language Processing models. By the end of the course, you’ll be able to use TensorFlow to build your own models and analyze data. The course is created by Andrei Neagoie, a senior software developer of over 10 years. You’ll get full lifetime access to the course as well as downloadable resources. After completion of the course, you’ll be equipped with skills that you can use in building machine learning applications.

The instructor(s):

Both instructors (Daniel Bourke and Andrei Neagoie) work together at their start-up zerotomastery.io, both not really having a fundamental background in ML or AI (Daniel worked at an AI start-up earlier in his career).

Pros:

• Can help pass Google’s Tensorflow exam
• Super in-depth crash course on TensorFlow for ML and NLP (63+ hours)
• Three projects built in to build ML models
• Great for Neural networks (rnns, lstms etc.)

Cons:

• Holy hell, this course is long – it spans more than the 63 hours
• The course is a little repetitive
• You need to have an understanding of Python, yet that’s not a requirement?

What do students say:

This is a great course for those who want to get hands on in Neural Networks (with TensorFlow). It’s a great course for beginners and intermediate, almost everything was covered briefly (even deep understanding of various objects). Definitely much more value than money. I am completely satisfied and happy with this course (I have purchased almost 90 courses on udemy and none of those can beat quality of this course)

Atul S. – 5/ 5 stars – January 2023

I can’t recommend this course enough! It’s absolutely excellent and I highly recommend it to any beginners with some knowledge of Python. The course is extremely rigorous, but putting in consistent effort each day pays off tremendously. The instructor’s contagious enthusiasm is truly mind-blowing and made the course so much more exciting. By the end of the course, I felt incredibly confident in my ability to use TensorFlow and I can’t wait to continue my learning journey. I am grateful for this outstanding course and the opportunity to learn from such a passionate instructor.

Maaz K. – 5/ 5 stars – April 2023

Verdict:

I have this course on my list of things to do; as TensorFlow and ML/AI are pretty much synonymous and a certification from Google never hurts. A lot of folks have said it helped get their certification, so it may be worth picking up for under $15 USD.

Get started with TensorFlow now!

Investment Analysis with Natural Language Processing (NLP)

This course teaches you investment analysis using Natural Language Processing (NLP) techniques. You’ll learn the basics of NLP as well as how to implement various techniques such as sentiment analysis, document summarization, topic modeling, and entity recognition. The course covers Python libraries such as NLTK, spaCy, and gensim.

The instructor(s):

The instructor, Ahmed Elgohary has a Ph.D. in finance and several years experience as a financial analyst. The course includes four hours of on-demand video and a certificate of completion. By the end of the course, participants will be able to analyze and make informed investment decisions using NLP techniques.

Pros:

• Not a terribly long course, but the perfect amount of time to ensure knowledge absorption.
• Comes with a practice test.
• A lot of financial strategy before you learn the NLP concepts (this was the only course that did something like this, which is why it’s on the list – domain knowledge is key).

Cons:

• NLP portion is a little light, since half the course is explaining the portfolio/financial management concepts.
• Could have had more focus on Lexicons.
• Course isn’t new, but hasn’t had too many reviews (only about ~2000 students).

What students say:

Excellent teacher with complete and clear explanation

Claud V. – 4.5 / 5 stars – January 2023

It’s really interesting this new approach for me in investment analysis. This course has a lot of information and very well explained. I don’t have a lot of background in Phyton and was really easy to follow. Thanks Vash to share your knowledge.

Carlos Alberto Sanchez R. – 5 / 5 stars – April 2022

Verdict:

Unique course that shows a different use for NLP. It’s specifically meant for financial managers and those that deal with financial portfolios. Therefore, if you’re in the feel a finance pick this up, if not – feel free to keep browsing :).

Take investment analysis using Natural Language Processing now.

NLP – Natural Language Processing with Python

This course is an introduction to Natural Language Processing (NLP) with Python libraries such as NLTK, scikit-learn, and spaCy. You’ll learn how to perform text classification, sentiment analysis, entity recognition, and part-of-speech tagging, among other things. The course consists of over five hours of on-demand video content, downloadable resources, and a certificate of completion. It’s suitable for beginners who are into data science, machine learning, and artificial intelligence. The instructor of the course, Jose Portilla, is an expert in data science and Python programming. It will provide a solid foundation for participants looking to build more complex NLP models.

The instructor(s):

Jose Portilla is a fantastic instructor, I’ve taken his Python courses, SQL courses, and plan to enroll in a number of his advanced NLP courses. He’s head of data science at Pierian Data, so you know he’s the real deal.

Pros:

• I’ve taken many of Jose Portilla’s courses – they’re hands-on, well written and perfect for beginners.
• You’ll actually implement machine learning algorithms, instead of just talking about the theory of them.
• A lot of hands-on data visualization with Matplotlib and NumPy in Jupyter notebooks.

Cons:

• No real AI interaction, you’ll do a lot of of data science and machine learning to help get your self ready to actually dealing with AI.
• Jose tends to provide a general overview of all things, but never dives too deep into one thing.

What students say:

Everything is great: the author’s manner is engaging, well-balanced theory-practice. I had problems with the last part, with the package Keras – it didn’t want to work at all… Comparing with everything before, lots of theoretical mathematics were really hard to understand even after reading the recommended literature. The author lost me completely at some point there. However, I got everything I needed about NLP, so happy and can recommend you the course

Dmitrij G. – 4.5 / 5 stars – April 2023

Another amazing course from Jose Portilla! I’ve learned a lot about natural language processing and this course is especially relevant in the era of ChatGPT. Thank you very much, Jose!

Alper Emre C. – 5 / 5 stars – April 2023

Verdict:

You can never go wrong with Jose Portilla’s courses, he’s an excellent teacher and practices what he preaches. While he’s never had an enterprise job at Microsoft or Amazon (true big data experiences), he’s completely at home when talking about anything technical. You won’t regret taking his course.

Learn Python with Jose Portilla’s course now!

Natural Language Processing in Python

This beginner-friendly course provides an introduction to Natural Language Processing (NLP) with Python. It covers topics such as language modeling, part of speech tagging, named entity recognition, and sentiment analysis. It’s intended for beginners with little or no prior background in NLP. You’ll get over six hours of on-demand video and a certificate of completion after finishing the course. The focus of the course is on practical skills, and there are many exercises and quizzes throughout that will help you solidify your understanding of key concepts.

The instructor(s):

The course is taught by instructor Lazy Programmer, which obviously an alias :). He has some of the highest-rated machine learning, Tensorflow, Data science for NLP and Python/Pytorch engineering courses on Udemy.

Pros:

• You’ll work with Markov models, BERT, GPT-3.
• Build some cool projects (Article spinner, LSI, text mining, and LDA).
• You’ll learn frameworks such as Face transformers, Parts-of-speech tagging and Named entity recognition (NER).

Cons:

• You’ll ramp up fast, so you need to know Python and understand the basics of ML, deep learning and machine translation. If not, you may struggle.
• A lot of the concepts are high level and may be difficult for newer learners to understand.

What students say:

Couldn’t grasp the thought process behind NLP. This is the first course that grabbed and kept my attention, and taught me to think like a data scientist along with the how and why of everything. Forever grateful.

Nathan C. – 5 / 5 stars – May 2023

So far it’s looking good, though I’m a bit worried about having to write this kind of complex code on my own after the course is complete. Lazy Programmer does a great job of making the course challenging and giving us exercises and I don’t have to mention how clear and simple the explanation is. 10/10 course.

Isaac G. – 5 / 5 stars – April 2023

Verdict:

I purchased this course a month ago and am making my way through it. I know now why it’s rated so highly. The course is the perfect length for after work, and the concepts are easy enough to understand if you already have knowledge about NLP. This course reminds me of a more hands-on Coursera course – which is a testament to Lazy Programmer’s teaching.

Learn NLP with the Lazy Programmer.

Deep learning and Neural networks in Python

Learn how to apply Natural Language Processing (NLP) techniques using Python programming language. This comprehensive course covers fundamental concepts like tokenization, stemming, lemmatization, and stop-word removal, as well as advanced topics like entity recognition, sentiment analysis, and topic modeling. It includes over 18 hours of on-demand video lessons, quizzes, and a certificate of completion.

The instructor(s):

Another course taught by the Lazy Programmer, which I’ve already reviewed :).

Pros:

• You will get a crash course in Tensorflow.
• You’ll get hands-on experience using artificial neural networks and deep learning frameworks.
• You’ll learn how to classify information (Important for machine learning).
• Cool lecture on how neurons work.

Cons:

• Only one project, and the course is somewhat short.
• There hasn’t been a lot of students who took this course, and you need to have skills in Python (NumPy), regression, and mathematics.

What students say:

As someone who appreciates a ground up approach – I did find this course helpful and will move onto some of the others presented by Lazy Programmer.

Gareth H. – 4.5 / 5 stars – March 2023

Very good course. Good mix of algebra and writing code. Seems however the tensor flow API has moved on and tensorflow 1 is basically deprecated. The tensorflow 2 site has good documentation. I can deal with the the expert level category thanks to linear algebra introduction

Alon B. – 5 / 5 stars – January 2023

Verdict:

You can never go wrong with the courses from Lazy programmer, there are over 30+ to choose from and he updates them regularly. If you’re looking for a NLP course you can do in one weekend, this is it!

Learn NLP in one weekend with the Lazy Programmer.

ChatGPT AI Voice Chatbot Build with React and Fast API Combo

This course teaches the process of creating an AI-powered voice chatbot using ChatGPT and leveraging React and Fast API. You’ll learn the basics of ChatGPT, a transformer-based language model, as well as how to set up a Fast API backend to communicate with the model.

It includes a step-by-step guide to creating the chatbot, from setting up the API, to developing the React frontend, and finally, to deploying the application to the cloud using Heroku.

This course includes a total of five hours of on-demand video, along with downloadable resources, quizzes, and coding exercises. You’ll also get lifetime access to the course material.

The instructor(s):

The creator of this course is Shaun McDonogh, who is a software engineer and technology consultant with over 20 years of experience. Shaun has worked with a range of technologies and has delivered a variety of software solutions across different domains.

Shaun holds a bachelor’s degree in computer science from Trinity College Dublin and a master’s degree in artificial intelligence from Edinburgh University. After completing his degrees, he began his career in software development and has since worked for a range of companies, from startups to global enterprises.

Pros:

• Super fast course, 5.5 hours – you can finish this on your day off!
• No prerequisites, you’ll be able to learn this course fast.
• Perfect for business people or content folks who want to do some hands-on AI.

Cons:

• Not good for anyone looking to really dive into making powerful apps. There are other courses that leverage ChatGPT-4 that are more powerful.
• Not a lot of reviews, but has a great rating.

What students say:

It was a great match; I completed the course without much trouble at all. I had to re-watch a couple of sections but it was overall a success.

Scot G. – 5 / 5 stars – April 2023

Great course that covers the latest technologies together in one great app. Really good style of teaching and easy to understand. Keep up the good work!

Maxim W. – 5 / 5 stars – April 2023

Verdict

Are you a busy person who wants to get your hands dirty on Chat GPT and a fast API in a short amount of time? Take this course!

Build your first AI voice chatbot with Ryan McDonogh

Tips for Choosing the Right NLP Course on Udemy

Natural Language Processing (NLP) is an exciting field that’s rapidly growing in popularity. With the increasing demand for NLP professionals, it’s no surprise that many people are turning to online courses to learn this valuable skill. Udemy is one of the most popular e-learning platforms for NLP courses, but with so many options to choose from, it can be challenging to find the right course for your needs. Here are some tips to help you choose the right NLP course on Udemy.

Assess Your Current Skill Level

Before enrolling in an NLP course, it’s essential to assess your current level of experience and knowledge in NLP. If you’re new to the field, you’ll want to start with a beginner-level course that covers the basics of NLP. On the other hand, if you already have some experience with NLP, you may want to consider a more advanced course that delves deeper into the subject matter.

Determine Your Learning Goals

It’s important to have a clear understanding of your learning goals before choosing an NLP course. Do you want to learn the basics of NLP, or do you want to specialize in a particular area like sentiment analysis or chatbot development? Having a clear goal in mind will help you find the right course to meet your needs.

Evaluate Course Content and Instructor Expertise

When choosing an NLP course on Udemy, take the time to read course descriptions and reviews carefully. Evaluate the course content against your learning goals to ensure that it covers the topics you want to learn. It’s also important to consider the instructor’s expertise and experience in the field of NLP. Look for courses taught by instructors who have real-world experience in NLP and who can provide practical examples and insights to help you apply what you learn.

Consider Course Format and Duration

Another important factor to consider when choosing an NLP course on Udemy is the course format and duration. Some courses may be self-paced, while others may have set start and end dates. Consider your schedule and learning style when choosing a course format. Additionally, some courses may be more intensive and require more time commitment than others. Make sure to choose a course that fits your schedule and learning goals.

Conclusion

Choosing the right NLP course on Udemy can be a daunting task, but by assessing your current skill level, determining your learning goals, evaluating course content and instructor expertise, and considering course format and duration, you can find the course that’s right for you. With the right course, you can develop the skills and knowledge you need to succeed in the exciting field of NLP.